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Pretrained-Language-Model-Enabled Active Learning

Pretrained-Language-Model-Enabled Active Learning
预训练语言模型支持主动学习
批准号:
507660870
负责人:
Professor Dr. Hinrich Schütze
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
--
资助国家:
德国
项目状态:
未结题
起止时间:

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中文摘要
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英文摘要
Lack of annotated training data is a key problem in supervised machine learning approaches to natural language processing. In this project, we want to combine active learning with recent developments in pretrained language models (or foundational models) for more effective training of machine learning models if no or only a few labeled training examples are available initially.
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ReMLAV: Relational Machine Learning for Argument Validation
  • 批准号:
    376183703
  • 项目类别:
    Priority Programmes
  • 资助金额:
    $0.0万
  • 财政年份:
    2017
  • 负责人:
    Professor Dr. Hinrich Schütze
  • 依托单位:
FADeBaC Sentiment Analysis - Fully Automatic DEnsity-BAsed Clustering applied to Sentiment Analysis
  • 批准号:
    219327280
  • 项目类别:
    Research Grants
  • 资助金额:
    $0.0万
  • 财政年份:
    2012
  • 负责人:
    Professor Dr. Hinrich Schütze
  • 依托单位:
semisupervised coreference resolution
  • 批准号:
    104076539
  • 项目类别:
    Research Grants
  • 资助金额:
    $0.0万
  • 财政年份:
    2009
  • 负责人:
    Professor Dr. Hinrich Schütze
  • 依托单位:
Models of morphosyntax for statistical machine translation
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